InfoQ Homepage Presentations
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Psychological Safety for Staff+ Engineers
Jitesh Gosai discusses what psychological safety is, why it matters to software teams and how Staff+ engineers can foster environments high in psychological safety.
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Securing the Software Supply Chain: How in-toto and TUF Work Together to Combat Supply Chain Attacks
Marina Moore covers the fundamentals of both in-toto and TUF, and discusses how to combine them with a real world case study where Datadog has been using two technologies together.
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From Monitoring to Observability: eBPF Chaos
Michael Friedrich discusses the learning steps with eBPF and traditional metrics monitoring and future Observability data collection, storage and visualization.
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The Many Facets of “Identity”
Radia Perlman describes what aspects of identity and authentication blockchain might address, and compares a “blockchain“ approach with what is deployed today.
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Providing a Personalized Experience to Millions of Users @BBC
Manisha Lopes discusses levers available to tune a cloud application, aligning the Data Model with the usage patterns for the data, using Performance Tests to benchmark an application, and others.
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Living on the Edge: Running Code and Serving Data with Edge Services
Erica Pisani discusses what the edge is, how running code and serving data on the edge can improve the performance of services, and how to leverage these tools to maximize performance.
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Security Checks Simplified: How to Implement Best Practices with Ease
Varun Sharma, CEO of StepSecurity, talks about OpenSSF Scorecard, a tool that assesses how well a code repository follows security best practices.
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Introducing the Hendrix ML Platform: an Evolution of Spotify’s ML Infrastructure
Divita Vohra and Mike Seid discuss Spotify’s newly branded platform, and share insights gained from a five-year journey building ML infrastructure.
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ChatGPT and AI: What's Next in Large Language Model (LLM) Architectures
The panelists discuss what's next in Large Language Model (LLM) architectures used in tools like ChatGPT and how these tools will further disrupt the AI/ML space.
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Strategy & Principles to Scale and Evolve MLOps @DoorDash
Hien Luu shares their approach to MLOps, and the strategy and principles that have helped them to scale and evolve their platform to support hundreds of models and billions of predictions per day.
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Build Features Faster with WebAssembly Components
Bailey Hayes discusses what has been impossible: the ability to write an application that combines libraries written in different languages, runnable in the web, on the server, and at the edge.
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How to Build a Successful Cloud Capability on a Heavy Regulated Organization
Ana Sirvent discusses their cloud capability journey, highlighting lessons learned and best practices on culture, processes and technology.
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